ss2_edited

Dynamic voltage restorer

用matlab去噪，实现是必须得，请大家参考参考(Denoising using matlab to achieve is to have, please refer to reference)

This paper presents a new algorithm to extract the fetal ECG from an ECG recorded on the mother’s abdomen. The algorithm consists of two steps: first, ECG of fetus is extracted from the original signal using a two-level wavelet transform. We use Daubechie wavelet transform, which is similar in shape to heart beat wave. The resulted signal is then low-pass filtered using the Savitzky-Golay smoothing filter to attenuate the effect of noise. The filtered signal is considered as the fetal ECG. The algorithm was applied on both synthetic and real ECG signals. The results in this paper show that the proposed algorithm has promising performance.

滑模变结构控制MATLAB仿真（刘金锟） 的源程序 matlab(Sliding Mode Control MATLAB simulation (Liu Kun) source matlab)

基本拟牛顿法的参考程序，有一定的参考价值(Quasi-Newton method the basic reference program, has some reference value)

利用matlab语言编写了可设置函数曲线图视角的用户界面的源程序。 (Use of matlab language that can be set up function curves from the Perspective of the user interface of the source.)

GPS简单控制网的基线向量网的三维无约束平差源代码。采用秩亏自由网平差的数学模型。(GPS control network adjustment.utilizing the rand deficiency free adjustment method.)

this file is gretz simulink in matlab software

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

LMS算法是线性自适应滤波算法和自适应滤波方法通常包括处理。(LMS algorithm is linear adaptive filtering algorithm and adaptive filtering process typically includes process.)